Proceedings of the Sixth International Workshop on Machine Learning

1989 ◽

pp. 505-507 ◽

Cited By ~ 1

Author(s):

Hans Tallis

Keyword(s):

Feature Space

Download Full-text

REPRESENTATIONAL ISSUES IN MACHINE LEARNING

Proceedings of the Sixth International Workshop on Machine Learning ◽

10.1016/b978-1-55860-036-2.50107-7 ◽

1989 ◽

pp. 426-429 ◽

Cited By ~ 5

Author(s):

Devika Subramanian

Keyword(s):

Machine Learning

Download Full-text

REDUCING REDUNDANT LEARNING11The author wishes to thank Dorrit Billman, Doug Fisher, Janet Kolodner, and Mike Redmond for helpful comments on this manuscript. This research was supported by the Army Research Institute under Contract No. MDA-903-86-C-173.

Proceedings of the Sixth International Workshop on Machine Learning ◽

10.1016/b978-1-55860-036-2.50100-4 ◽

1989 ◽

pp. 396-399 ◽

Cited By ~ 1

Author(s):

Joel D. Martin

Keyword(s):

Army Research Institute ◽

Research Institute

Download Full-text

INCREMENTAL CONCEPT FORMATION WITH COMPOSITE OBJECTS

Proceedings of the Sixth International Workshop on Machine Learning ◽

10.1016/b978-1-55860-036-2.50094-1 ◽

1989 ◽

pp. 371-374 ◽

Cited By ~ 11

Author(s):

Kevin Thompson ◽

Pat Langley

Keyword(s):

Concept Formation ◽

Composite Objects

Download Full-text

IDENTIFYING KNOWLEDGE BASE DEFICIENCIES BY OBSERVING USER BEHAVIOR11This work was supported in part by the Learning System Pilot Aiding contract from the Wright Research and Development Center (Contract Number F33615-88-C-1739). We are pleased to acknowledge the support of our technical monitor, Mr. Gurdial Saini, and our previous technical monitor Captain John Ferrante. We have also benefitted from the assistance of Tim Ayers, Becky Burnard, Gary Edwards, Norm Geddes, John Halpin, Belinda Hoshstrasser, Mark Hoffmann, Leila Johnannesen, David M. Smith, Tim Whiffen and Ed Wisniewski; and from the advice of Jerry DeJong, John Laird, Paul Scott, and David C. Wilkins.

Proceedings of the Sixth International Workshop on Machine Learning ◽

10.1016/b978-1-55860-036-2.50080-1 ◽

1989 ◽

pp. 296-301

Author(s):

Keith R. Levi ◽

Valerie L. Shalin ◽

David L. Perschbacher

Keyword(s):

Research And Development ◽

Knowledge Base ◽

Learning System ◽

Development Center

Download Full-text

CONTROLLING SEARCH FOR THE CONSEQUENCES OF NEW INFORMATION DURING KNOWLEDGE INTEGRATION11Support for this research was provided by the Army Research Office under grant ARO-DAAG29-84-K-0060 and the National Science Foundation under grant IRI-8620052.

Proceedings of the Sixth International Workshop on Machine Learning ◽

10.1016/b978-1-55860-036-2.50079-5 ◽

1989 ◽

pp. 290-295 ◽

Cited By ~ 3

Author(s):

Kenneth S. Murray ◽

Bruce W. Porter

Keyword(s):

National Science Foundation ◽

New Information ◽

National Science ◽

Research Office

Download Full-text

EXEMPLAR-BASED THEORY REJECTION: AN APPROACH TO THE EXPERIENCE CONSISTENCY PROBLEM11This research was supported in part by the Office of Naval Research under grant N-00014-86-K-0309 and in part by a Faculty Research Initiation Fund grant from the University of Southern California. This research has benefited from the comments and advice of Gerald DeJong, Ken Forbus, Dedre Gentner, Bob Stepp, Uday Reddy and the members of the CSL machine learning research group at the University of Illinois.

Proceedings of the Sixth International Workshop on Machine Learning ◽

10.1016/b978-1-55860-036-2.50078-3 ◽

1989 ◽

pp. 284-289 ◽

Cited By ~ 2

Author(s):

Shankar A. Rajamoney

Keyword(s):

Machine Learning ◽

Research Group ◽

Southern California ◽

Naval Research ◽

University Of Southern California ◽

Faculty Research ◽

University Of Illinois ◽

Office Of Naval Research ◽

Learning Research ◽

The University

Download Full-text

LEARNING HIERARCHIES OF ABSTRACTION SPACES

Proceedings of the Sixth International Workshop on Machine Learning ◽

10.1016/b978-1-55860-036-2.50069-2 ◽

1989 ◽

pp. 241-245 ◽

Cited By ~ 11

Author(s):

Craig A. Knoblock

Download Full-text

Using Concept Hierarchies to Organize Plan Knowledge

Proceedings of the Sixth International Workshop on Machine Learning ◽

10.1016/b978-1-55860-036-2.50065-5 ◽

1989 ◽

pp. 229-231 ◽

Cited By ~ 2

Author(s):

John A. Allen ◽

Pat Langley

Keyword(s):

Concept Hierarchies

Download Full-text

Discovering problem solving strategies: What humans do and machines don't (yet)

Proceedings of the Sixth International Workshop on Machine Learning ◽

10.1016/b978-1-55860-036-2.50061-8 ◽

1989 ◽

pp. 215-217 ◽

Cited By ~ 4

Author(s):

Kurt VanLehn

Keyword(s):

Problem Solving ◽

Problem Solving Strategies

Download Full-text

Proceedings of the Sixth International Workshop on Machine Learning
Latest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Elsevier

OVERCOMING FEATURE SPACE BIAS IN A REACTIVE ENVIRONMENT

REPRESENTATIONAL ISSUES IN MACHINE LEARNING

REDUCING REDUNDANT LEARNING11The author wishes to thank Dorrit Billman, Doug Fisher, Janet Kolodner, and Mike Redmond for helpful comments on this manuscript. This research was supported by the Army Research Institute under Contract No. MDA-903-86-C-173.

INCREMENTAL CONCEPT FORMATION WITH COMPOSITE OBJECTS

CONTROLLING SEARCH FOR THE CONSEQUENCES OF NEW INFORMATION DURING KNOWLEDGE INTEGRATION11Support for this research was provided by the Army Research Office under grant ARO-DAAG29-84-K-0060 and the National Science Foundation under grant IRI-8620052.

LEARNING HIERARCHIES OF ABSTRACTION SPACES

Using Concept Hierarchies to Organize Plan Knowledge

Discovering problem solving strategies: What humans do and machines don't (yet)

Export Citation Format

Proceedings of the Sixth International Workshop on Machine LearningLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Elsevier

OVERCOMING FEATURE SPACE BIAS IN A REACTIVE ENVIRONMENT

REPRESENTATIONAL ISSUES IN MACHINE LEARNING

REDUCING REDUNDANT LEARNING11The author wishes to thank Dorrit Billman, Doug Fisher, Janet Kolodner, and Mike Redmond for helpful comments on this manuscript. This research was supported by the Army Research Institute under Contract No. MDA-903-86-C-173.

INCREMENTAL CONCEPT FORMATION WITH COMPOSITE OBJECTS

CONTROLLING SEARCH FOR THE CONSEQUENCES OF NEW INFORMATION DURING KNOWLEDGE INTEGRATION11Support for this research was provided by the Army Research Office under grant ARO-DAAG29-84-K-0060 and the National Science Foundation under grant IRI-8620052.

LEARNING HIERARCHIES OF ABSTRACTION SPACES

Using Concept Hierarchies to Organize Plan Knowledge

Discovering problem solving strategies: What humans do and machines don't (yet)

Proceedings of the Sixth International Workshop on Machine Learning
Latest Publications